TEMPORAL POOLING AND CORRELATION IN AN ARTIFICIAL NEURAL NETWORK

A computational method is disclosed for the simulation of a hierarchical artificial neural network (ANN), wherein a single correlator pools, during a single time-step, two or more consecutive feed-forward inputs from previously predicted and now active neurons of one or more lower levels.

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Bibliographic Details
Main Authors SCOTT, John, Campbell, OZCAN, Ahmet, Serkan, IMAINO, Wayne, Isami
Format Patent
LanguageEnglish
French
German
Published 29.07.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A computational method is disclosed for the simulation of a hierarchical artificial neural network (ANN), wherein a single correlator pools, during a single time-step, two or more consecutive feed-forward inputs from previously predicted and now active neurons of one or more lower levels.
Bibliography:Application Number: EP20180768880